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Christian Faubel
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2020 – today
- 2021
- [c11]Christian Faubel:
Emergent Polyrhythmic Patterns with a Neuromorph Electronic Network. NIME 2021
2010 – 2019
- 2017
- [j3]Oliver Lomp, Christian Faubel, Gregor Schöner
:
A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity. Frontiers Neurorobotics 11: 23 (2017) - 2014
- [c10]Oliver Lomp, Kasim Terzic, Christian Faubel, J. M. Hans du Buf, Gregor Schöner
Instance-Based Object Recognition with Simultaneous Pose Estimation Using Keypoint Maps and Neural Dynamics. ICANN 2014: 451-458 - [c9]Christian Faubel:
Rhythm Apparatus on Overhead. NIME 2014: 491-494 - 2012
- [c8]Michael Berger
The Counter-Change Model of Motion Perception: An Account Based on Dynamic Field Theory. ICANN (1) 2012: 579-586 - 2011
- [j2]Stephan K. U. Zibner, Christian Faubel, Ioannis Iossifidis
Dynamic Neural Fields as Building Blocks of a Cortex-Inspired Architecture for Robotic Scene Representation. IEEE Trans. Auton. Ment. Dev. 3(1): 74-91 (2011) - [c7]Stephan K. U. Zibner, Christian Faubel, Gregor Schöner
Making a robotic scene representation accessible to feature and label queries. ICDL-EPIROB 2011: 1-7 - 2010
- [c6]Stephan K. U. Zibner, Christian Faubel, Ioannis Iossifidis
Scenes and tracking with dynamic neural fields: How to update a robotic scene representation. ICDL 2010: 244-250 - [c5]Christian Faubel, Gregor Schöner
Learning objects on the fly - object recognition for the here and now. IJCNN 2010: 1-8 - [c4]Christian Faubel, Stephan K. U. Zibner:
A neuro-dynamic object recognition architecture enhanced by foveal vision and a gaze control mechanism. IROS 2010: 1171-1176 - [c3]Stephan K. U. Zibner, Christian Faubel, Ioannis Iossifidis, Gregor Schöner:
Scene Representation for Anthropomorphic Robots: A Dynamic Neural Field Approach. ISR/ROBOTIK 2010: 1-7
2000 – 2009
- 2009
- [b1]Christian Faubel:
Object recognition with dynamic neural fields. Ruhr University Bochum, 2009 - [c2]Christian Faubel, Gregor Schöner
A neuro-dynamic architecture for one shot learning of objects that uses both bottom-up recognition and top-down prediction. IROS 2009: 3162-3169 - 2008
- [j1]Christian Faubel, Gregor Schöner
Learning to recognize objects on the fly: A neurally based dynamic field approach. Neural Networks 21(4): 562-576 (2008) - 2003
- [c1]Ioannis Iossifidis
Anthropomorphism as a pervasive design concept for a robotic assistant. IROS 2003: 3465-3472
Coauthor Index
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